DocumentCode
2833262
Title
Nonnegative Tensor Decomposition and It´s Applications in Image Processing
Author
Yang, Hongli ; He, Guoping ; Dong, Yulin
Author_Institution
Inf. Sci. & Eng. Coll., Shandong Univ. of Sci. & Technol., Qingdao
fYear
2008
fDate
Aug. 29 2008-Sept. 2 2008
Firstpage
212
Lastpage
217
Abstract
Nonnegative tensor decomposition is an effective data processing technique that has proven to be useful for a wide variety of applications. In this paper we get some results that a three order tensor can be represented by the matrix product. By the representation of matrix product, we give an iterative algorithm for nonnegative tensor decomposition which has good performance. We also applied our algorithm to image processing, and the reconstruct image is in good quality.
Keywords
image reconstruction; iterative methods; matrix decomposition; tensors; data processing technique; image processing; image quality; image reconstruction; iterative algorithm; matrix product representation; nonnegative tensor decomposition; Algebra; Application software; Computer science; Helium; Image processing; Information technology; Iterative algorithms; Matrix decomposition; Signal processing algorithms; Tensile stress; algorithm; image processing; nonnegative tensor decomposition;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology, 2008. ICCSIT '08. International Conference on
Conference_Location
Singapore
Print_ISBN
978-0-7695-3308-7
Type
conf
DOI
10.1109/ICCSIT.2008.99
Filename
4624863
Link To Document